A Supervised Learning ART Network with Fuzzy Weight Adjustment for Pattern Recognition
碩士 === 國立臺灣科技大學 === 電機工程系 === 94 === This thesis proposes an enhanced adaptive resonance theory (ART) neural network to improve the capability of recognizing incomplete patterns. ART provides a solution to the stability-plasticity dilemma. Nonetheless, the unsupervised learning algorithm can no...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2006
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| Online Access: | http://ndltd.ncl.edu.tw/handle/68j7s6 |